Growth trajectories of the human embryonic head and periconceptional maternal conditions

Koning, Irene; Baken, Leonie; Groenenberg, Irene A.L.; Husen, S.; Dudink, Jeroen; Willemsen, Sten P.; Gijtenbeek, Manon; Koning, Anton H. J.; Steegers, Eric A.P.; Steegers‐Theunissen, R.P.M.

doi:10.1093/humrep/dew043

Cited by 14 publications

(17 citation statements)

References 38 publications

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“…Second, the volumetric measurement of the head and trunk were obtained by manually deselecting the segmented voxels of the head using a brusher with the size of the occipital‐frontal diameter. The base of the chin and the fourth ventricle in the midsagittal plane are used as reference points, as described previously 19 . Third, we performed the volumetric measurements of the thorax and abdomen by manually deselecting the segmented part below the diaphragm using a spherical brusher with the same diameter as the trunk.…”

Section: Methodsmentioning

confidence: 99%

“…The base of the chin and the fourth ventricle in the midsagittal plane are used as reference points, as described previously. 19 Third, we performed the volumetric measurements of the thorax and abdomen by manually deselecting the segmented part below the diaphragm using a spherical brusher with the same diameter as the trunk. During the fetal proportion volumetric measurements, we used a transparent segmentation color to enable identification of the fourth ventricle and the diaphragm.…”

Section: Fetal Proportion Volumetric Measurementsmentioning

confidence: 99%

“…23 Assessment of 3D ultrasound datasets with a VR system has previously shown feasible and reproducible for several first trimester measurements, including the measurement of embryonic volume. 18,19,24 As the increase in volume during the first trimester is much larger than the increase in length, it is suggested that these volumetric measurements may have higher sensitivity to assess deviations in first trimester growth compared to customary biometric measurements. 18 As the relative growth rate of the fetus is highest during the first trimester of pregnancy, the fetus is most vulnerable during this period for stressors that can lead to early developmental adaptations.…”

Section: Interpretation Of Main Findingsmentioning

confidence: 99%

“…The observed reproducibility and agreement was similar to previous VR studies for volumetric measurement of the embryo and head. 18,19 Previously, one other study attempted to reconstruct volumes of extremities in early fetuses, using specialized software that allows to estimate volumes by drawing contours. 25…”

Section: Interpretation Of Main Findingsmentioning

confidence: 99%

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First trimester fetal proportion volumetric measurements using a Virtual Reality approach

et al. 2021

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Objective: To establish feasibility and reproducibility of fetal proportion volumetric measurements, using three-dimensional (3D) ultrasound and a Virtual Reality (VR) system.Methods: Within a population-based prospective birth cohort, 3D ultrasound datasets of 50 fetuses in the late first trimester were collected by three ultrasonographers in a single research center. V-scope software was used for volumetric measurements of total fetus, extremities, head-trunk, head, trunk, thorax, and abdomen. All measurements were performed independently by two researchers.Intraobserver and interobserver reproducibility were analyzed using Bland and Altman methods.Results: Intraobserver and interobserver analyses of volumetric measurements of total fetus, head-trunk, head, trunk, thorax and abdomen showed intraclass correlation coefficients above 0.979, coefficients of variation below 7.51% and mean difference below 3.44%. The interobserver limits of agreement were within the ±10% range for volumetric measurements of total fetus, head-trunk, head and trunk. The interobserver limits of agreement for extremities, thorax and abdomen were −26.09% to 4.77%, −14.14% to 10.00% and −14.47% to 8.83%, respectively. Conclusion:First trimester fetal proportion volumetric measurements using 3D ultrasound and VR are feasible and reproducible, except volumetric measurements of the fetal extremities. These novel volumetric measurements may be used in future research to enable detailed studies on first trimester fetal development and growth.

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Section: Methodsmentioning

confidence: 99%

Section: Fetal Proportion Volumetric Measurementsmentioning

confidence: 99%

Section: Interpretation Of Main Findingsmentioning

confidence: 99%

Section: Interpretation Of Main Findingsmentioning

confidence: 99%

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First trimester fetal proportion volumetric measurements using a Virtual Reality approach

et al. 2021

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“…These non-invasive techniques have now provided large databases on normal and abnormal feto-placental development, thus enabling a better understanding of the pathophysiology of the early embryonic development and its possible impact during pregnancy and after birth (Rousian et al, 2010;Rousian et al, 2011;van Uitert et al, 2013a). This has also stimulated periconceptional prospective research on the influence of maternal lifestyle factors on the risk of first trimester abnormal outcomes, mainly miscarriage, congenital malformations and embryonic growth (van Uitert et al, 2013b;Koning et al, 2016;Koning et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

The impact of maternal lifestyle factors on periconception outcomes: a systematic review of observational studies

Oostingh

Hall

Koster

et al. 2019

Reproductive BioMedicine Online

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In this systematic review of observational studies, modifiable maternal lifestyle factors were found to influence several periconception outcomes. These data further support the importance of adopting healthy lifestyles of couples planning a pregnancy to improve reproductive health. ABSTRACTThe main risk factors for important reproductive health issues such as subfertility and perinatal mortality largely originate in the periconception period. To evaluate associations between modifiable maternal lifestyle factors and periconception outcomes, a systematic search was conducted for relevant studies published from 1990 to February 2017 on Embase, Medline, Web of Science, Cochrane database, PubMed and Google Scholar. The initial search identified 6166 articles, of which 49 studies were eligible for inclusion. Fecundity (the capacity to have a live birth) showed significant inverse associations with smoking, alcohol use and poor diet. Studies regarding time to pregnancy showed a decline in fecundity ratios (the monthly conception rate among exposed relative to unexposed couples) with increasing body mass index (BMI). Furthermore, risk of first-trimester miscarriage was found to be increased in smokers, alcohol and caffeine consumers, and with increasing BMI. Vitamin supplement use showed a decrease in this risk. This review demonstrates that maternal modifiable lifestyle factors affect periconception outcomes. If couples planning a pregnancy are more aware and supported to adopt healthy lifestyles during the periconceptional 'window of opportunity', short-term reproductive health as well as health in later life and even of future generations can be further improved.

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Towards a 4D Spatio-Temporal Atlas of the Embryonic and Fetal Brain Using a Deep Learning Approach for Groupwise Image Registration

Bastiaansen

Rousian

Steegers‐Theunissen

et al. 2022

Lecture Notes in Computer Science

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Growth trajectories of the human embryonic head and periconceptional maternal conditions

Abstract: This study was funded by the Department of Obstetrics and Gynaecology, Erasmus MC University Medical Centre and Sophia Foundation for Medical Research, Rotterdam, The Netherlands (SSWO grant number 644). No competing interests are declared.

Cited by 14 publications

References 38 publications

First trimester fetal proportion volumetric measurements using a Virtual Reality approach

First trimester fetal proportion volumetric measurements using a Virtual Reality approach

The impact of maternal lifestyle factors on periconception outcomes: a systematic review of observational studies

Towards a 4D Spatio-Temporal Atlas of the Embryonic and Fetal Brain Using a Deep Learning Approach for Groupwise Image Registration

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